Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.7 * weight + 185
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Lisowicz
12
85 kgWacker
35
65 kgKogut
36
73 kgChmielewski
37
72 kgJaniaczyk
43
68 kgKiryienka
48
69 kgBagdonas
56
78 kgMickiewicz
57
74 kgKiendyś
59
78 kgPawlak
64
73 kgWitecki
67
70 kgSapa
72
82 kgBodnar
83
68 kgMazur
87
73 kgVelits
90
70 kgRaboň
94
74 kgVelits
97
63 kgAbass
100
65 kg
12
85 kgWacker
35
65 kgKogut
36
73 kgChmielewski
37
72 kgJaniaczyk
43
68 kgKiryienka
48
69 kgBagdonas
56
78 kgMickiewicz
57
74 kgKiendyś
59
78 kgPawlak
64
73 kgWitecki
67
70 kgSapa
72
82 kgBodnar
83
68 kgMazur
87
73 kgVelits
90
70 kgRaboň
94
74 kgVelits
97
63 kgAbass
100
65 kg
Weight (KG) →
Result →
85
63
12
100
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | LISOWICZ Tomasz | 85 |
| 35 | WACKER Eugen | 65 |
| 36 | KOGUT Volodymyr | 73 |
| 37 | CHMIELEWSKI Piotr | 72 |
| 43 | JANIACZYK Błażej | 68 |
| 48 | KIRYIENKA Vasil | 69 |
| 56 | BAGDONAS Gediminas | 78 |
| 57 | MICKIEWICZ Jacek | 74 |
| 59 | KIENDYŚ Tomasz | 78 |
| 64 | PAWLAK Wojciech | 73 |
| 67 | WITECKI Mariusz | 70 |
| 72 | SAPA Marcin | 82 |
| 83 | BODNAR Łukasz | 68 |
| 87 | MAZUR Peter | 73 |
| 90 | VELITS Martin | 70 |
| 94 | RABOŇ František | 74 |
| 97 | VELITS Peter | 63 |
| 100 | ABASS Mahmoud | 65 |